Research2h ago
Research
Languages Viewed As Designed Latent Spaces
A new theoretical framework posits that human languages function as designed latent spaces for compressing complex information. This perspective treats linguistic evolution as an optimization process for cognitive efficiency. Researchers argue this mapping explains how LLMs mirror human semantic structures. Practitioners can use this lens to improve tokenization strategies and model embedding alignment.